code: def mv(input, vec, *, out=None):
      if len(ivy.shape(input)) != 2 or len(ivy.shape(vec)) != 1:
          raise RuntimeError("input must be 2D matrix and 1D vector")
      input, vec = torch_frontend.promote_types_of_torch_inputs(
          input, vec
      )
      return ivy.matmul(input, vec, out=out)
  
imports: import ivy
  from ivy.func_wrapper import with_unsupported_dtypes
  import ivy.functional.frontends.torch
  from ivy.functional.frontends.torch.func_wrapper import to_ivy_arrays_and_back
label_desc: Use image node_id 19 for calling a global function with example usage: mv(input, vec) and returns: ivy